Smart Computing and Systems Engineering - 2022 (SCSE 2022)
Permanent URI for this collectionhttp://repository.kln.ac.lk/handle/123456789/25392
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Item Review of the State-of-the-Art of ERP 4.0 Systems(Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022) Rathnayake, Hasitha; Vimukthi, Lahiru; Gamage, Methmi; Wickramaarachchi, Ruwan; Withanaarachchi, A.This study looks into the various ways that Industry 4.0 elevates the capabilities of ERP systems. Over recent years, it is evident that the Industry 4.0 concept has been the birthplace of many innovative technologies across various industries, and the practical implementation of Industry 4.0related technologies is also rapidly expanding across many industries. Moreover, the incorporation of Industry 4.0-related technologies has dramatically increased the performance of organizations and hence led to sustained profits in the long term. By integrating Industry 4.0 technologies such as IoT and RFID into ERP systems, the ERP systems will be able to capture realtime data from the work floor level, enabling ERP systems to provide more accurate analytics and predictions. Therefore, upgrading the existing traditional ERP systems to support these novel technologies presented by Industry 4.0 will undoubtfully contribute to enhancing the capabilities of ERP systems. Among the limited studies investigating ERP systems from the Industry 4.0 perspective, none have focused on conducting a systematic literature review on ERP from the Industry 4.0 standpoint to investigate how Industry 4.0 enhances the capabilities of ERP systems. Therefore, this study contributes to the theory by fulfilling that knowledge gap.Item Examine the Impact of IoT for Supply Chain-Based Operations in ERP Systems: Systematic Literature Review(Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022) Paththinige, Pavani; Thilakarathne, Kasun; Rathnasekara, Tenisha; Wickramaarachch, Ruwan; Withanaarachchi, A.This study intends to look into the various ways that Industry 4.0 elevates the capabilities of ERP systems. Over recent years, it is evident that the Industry 4.0 concept has been the birthplace of many innovative technologies across various industries, and the practical implementation of Industry 4.0related technologies is also rapidly expanding across many industries. Moreover, the incorporation of Industry 4.0-related technologies has dramatically increased the performance of organizations and hence led to sustained profits in the long term. By integrating Industry 4.0 technologies such as IoT and RFID into ERP systems, the ERP systems will be able to capture realtime data from the work floor level, enabling ERP systems to provide more accurate analytics and predictions. Therefore, upgrading the existing traditional ERP systems to support these novel technologies presented by Industry 4.0 will undoubtfully contribute to enhancing the capabilities of ERP systems. Among the limited studies investigating ERP systems from the Industry 4.0 perspective, none have focused on conducting a systematic literature review on ERP from the Industry 4.0 standpoint to investigate how Industry 4.0 enhances the capabilities of ERP systems. Therefore, this study contributes to the theory by fulfilling that knowledge gap.Item A Model to Optimize the Sales and Purchases Invoice Payments of Working Capital in the Fast-Moving Consumer Goods Industry(Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022) Rathnasekara, J. P. D. T.; Wijayanayake, A. N.; Withanaarachchi, A.Working capital optimization is critical in real business scenarios since it changes dynamically along with complex physical cash flows. In previous literature, working capital payment optimization mainly focused on the cash conversion cycle and cash on hand. In those studies, the objectives were to maximize the profit, maximize on hand cash flow or minimize the cost during the predefined period. However, in most cash maximization models, the time value of the money concept was not addressed. Further, in real-world scenarios, the time value of the money concept mainly affects the working capital and cash flow performances. In the proposed model, the time value of money concept was considered to get actual available cash at present. The objective of this proposed model is to maximize the current value of the money on hand while minimizing the cost within the considered time frame. The model was tested using Python along with CPLEX libraries. This study will be helpful to researchers, academics, and those working in the finance sector of the manufacturing industry to make better decisions on working capital invoice payments.